Optimizing Dynamic Spectrum Access

• US 20130122819A1
• Filed: 11/10/2011
• Published: 05/16/2013
• Est. Priority Date: 11/10/2011
• Status: Active Grant

• Current Assignee: Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Original Assignee: Toyota Infotechnology Center Co., Ltd. (Toyota Motor Corporation), Toyota Jidosha Kabushiki Kaisha (Toyota Motor Corporation)
• Inventors: Vuyyuru, Rama K., Chen, Si
• Granted Patent: US 9,215,598 B2
• Time in Patent Office: Days
• US Class Current: 455/62
• CPC Class Codes: H04W 16/14 Spectrum sharing arrangements between different networks
• CPC Class Codes: H04W 72/02 Selection of wireless resources by user or terminal
• CPC Class Codes: H04W 72/563 of the wireless resources

Abstract

A system and method for optimizing spectrum access in data communications is disclosed. The system comprises a case module, a selection engine, an evaluation module and an update module. The case module determines a present case based at least in part on sensor data and environmental data, determines a matching case for the present case and configures one or more channel profiles for the present case based at least in part on the matching case. The selection engine selects a first channel based on the one or more channel profiles. The first channel is associated with a first channel profile from the one or more channel profiles. The evaluation module evaluates a first channel performance for the first channel and generates a first channel reward for the first channel. The update module updates the first channel profile based at least in part on the first channel reward.

Claims

1. A method for optimizing dynamic spectrum access in communications, the method comprising:

determining a present case based at least in part on sensor data and environmental data;

determining a matching case for the present case;

configuring one or more channel profiles for the present case based at least in part on the matching case;

selecting a first channel based at least in part on the one or more channel profiles, the first channel associated with a first channel profile from the one or more channel profiles;

evaluating a first channel performance for the first channel and generating a first channel reward for the first channel; and

updating the first channel profile based at least in part on the first channel reward.

2. The method of claim 1, wherein determining the matching case for the present case further comprises:

retrieving case data associated with one or more historic cases;

determining one or more distances between the present case and the one or more historic cases; and

selecting a historic case from the one or more historic cases that has a minimal distance to the present case as the matching case.

3. The method of claim 1, wherein generating the first channel reward further comprises:

predicting a channel opportunity for the first channel;

determining a channel throughput for the first channel; and

generating the first channel reward based at least in part on the channel opportunity and the channel throughput.

4. The method of claim 1 further comprising:

selecting a second channel based at least in part on the updated first channel profile and other remaining channel profiles from the one or more channel profiles, the second channel associated with a second channel profile from the one or more channel profiles;

evaluating a second channel performance for the second channel and generating a second channel reward for the second channel; and

updating the second channel profile based at least in part on the second channel reward.

5. The method of claim 1 further comprising:

storing case data for the present case including the updated first channel profile and other remaining channel profiles from the one or more channel profiles as a historic case for future use.

6. The method of claim 1, wherein the first channel profile includes a channel value, a channel index and a channel visit number.

7. The method of claim 6, wherein updating the first channel profile further comprises:

updating the channel value, the channel index and the channel visit number for the first channel.

8. A system for optimizing dynamic spectrum access in communications, the system comprising:

a case module for determining a present case based at least in part on sensor data and environmental data, the case module determining a matching case for the present case, the case module configuring one or more channel profiles for the present case based at least in part on the matching case;

a selection engine communicatively coupled to the case module, the selection engine selecting a first channel based at least in part on the one or more channel profiles, the first channel associated with a first channel profile from the one or more channel profiles;

an evaluation module communicatively coupled to the case module and the selection engine, the evaluation module evaluating a first channel performance for the first channel and generating a first channel reward for the first channel; and

an update module communicatively coupled to the case module, the selection engine and the evaluation module, the update module updating the first channel profile based at least in part on the first channel reward.

9. The system of claim 8, wherein the case module is further configured to:

retrieve case data associated with one or more historic cases;

determine one or more distances between the present case and the one or more historic cases; and

select a historic case from the one or more historic cases that has a minimal distance to the present case as the matching case.

10. The system of claim 8, wherein the evaluation module is further configured to:

predict a channel opportunity for the first channel;

determine a channel throughput for the first channel; and

generate the first channel reward based at least in part on the channel opportunity and the channel throughput.

11. The system of claim 8, wherein the selection engine is further configured to select a second channel based at least in part on the updated first channel profile and other remaining channel profiles from the one or more channel profiles, the evaluation module is further configured to evaluate a second channel performance for the second channel and generate a second channel reward for the second channel, and the update module is further configured to update a second channel profile based at least in part on the second channel reward, wherein the second channel is associated with the second channel profile from the one or more channel profiles.

12. The system of claim 8, wherein the update module is further configured to:

store case data for the present case including the updated first channel profile and other remaining channel profiles from the one or more channel profiles as a historic case for future use.

13. The system of claim 8, wherein the first channel profile includes a channel value, a channel index and a channel visit number.

14. The system of claim 13, wherein the update module is further configured to:

update the channel value, the channel index and the channel visit number for the first channel.

15. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising:

determining a present case based at least in part on sensor data and environmental data;

determining a matching case for the present case;

configuring one or more channel profiles for the present case based at least in part on the matching case;

selecting a first channel based at least in part on the one or more channel profiles, the first channel associated with a first channel profile from the one or more channel profiles;

evaluating a first channel performance for the first channel and generating a first channel reward for the first channel; and

updating the first channel profile based at least in part on the first channel reward.

16. The computer program product of claim 15, wherein determining the matching case for the present case further comprises:

retrieving case data associated with one or more historic cases;

determining one or more distances between the present case and the one or more historic cases; and

selecting a historic case from the one or more historic cases that has a minimal distance to the present case as the matching case.

17. The computer program product of claim 15, wherein generating the first channel reward further comprises:

predicting a channel opportunity for the first channel;

determining a channel throughput for the first channel; and

generating the first channel reward based at least in part on the channel opportunity and the channel throughput.

18. The computer program product of claim 15, wherein the instructions cause the computing device to perform operations further comprising:

selecting a second channel based at least in part on the updated first channel profile and other remaining channel profiles from the one or more channel profiles, the second channel associated with a second channel profile from the one or more channel profiles;

evaluating a second channel performance for the second channel and generating a second channel reward for the second channel; and

updating the second channel profile based at least in part on the second channel reward.

19. The computer program product of claim 15, wherein the instructions cause the computing device to perform operations further comprising:

storing case data for the present case including the updated first channel profile and other remaining channel profiles from the one or more channel profiles as a historic case for future use.

20. The computer program product of claim 15, wherein the first channel profile includes a channel value, a channel index and a channel visit number.